In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model from Hugging Face, prepare it for code generation, and use it to generate Python functions from ...
OpenCV-video-multiprocessing is a small educational project that demonstrates how to process video frames faster and more cleanly using OpenCV, Python worker pools, and a frame queue. The repository ...
In this tutorial, we implement Tree-KG, an advanced hierarchical knowledge graph system that goes beyond traditional retrieval-augmented generation by combining semantic embeddings with explicit graph ...
10 producers 1 consumer (100K msgs per producer) 44.48 16.68 5.98 3 producers 20 consumers (100K msgs per producer) 22.59 7.83 7.49 20 producers 3 consumers (50K msgs per producer) 66.3 22.3 6.35 20 ...
Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13. By default, ...
But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...
If you are creating programs and applications linked to OpenAI’s services such as ChatGPT it is important that you understand the rate limits which have been set for your particular AI model and how ...
Hello everyone, in the previous article, I started describing my experience of developing a Python Telegram bot for checking the operability and monitoring of my service located on a remote server. In ...
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